Triple

T23553160
Position Surface form Disambiguated ID Type / Status
Subject Jupiter's Darling E578104 entity
Predicate costumeDesigner P184 FINISHED
Object Walter Plunkett NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Walter Plunkett | Statement: [Jupiter's Darling, costumeDesigner, Walter Plunkett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Plunkett
Context triple: [Jupiter's Darling, costumeDesigner, Walter Plunkett]
  • A. Walter Plunkett chosen
    Walter Plunkett was a prominent American costume designer best known for his work on classic Hollywood films such as "Gone with the Wind."
  • B. Gerard Plunkett
    Gerard Plunkett is a Canadian actor known for his character roles in film and television, including a supporting appearance in the thriller "Snakes on a Plane."
  • C. Walter Forde
    Walter Forde was a prominent British film director and occasional actor best known for his work on comedies and thrillers during the early 20th century.
  • D. T. S. Plunkett
    T. S. Plunkett is a property developer known for involvement in major Australian retail projects such as the Casuarina Square shopping centre.
  • E. Edmund Naughton
    Edmund Naughton was an American novelist and journalist best known for his Western novel "McCabe," which was adapted into the film "McCabe & Mrs. Miller."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e245fa93448190919cb04534560542 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1aed096b08190a8a755eaa7663fba completed April 29, 2026, 7:10 a.m.
Created at: April 17, 2026, 6:11 p.m.